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Job Description
Duration: 6 months
Hybrid – 2 days in London office
Start: ASAP
Job Description:
Responsibilities:
- Define the building blocks and architecture of the GCP based AIML platform for a large financial institution.
- Work on prioritisation and clustering of 100 use-cases.
- Create road-map and plan for implementation of the AIML Platform using prioritised use-cases.
- Work with the Model Risk Management teams to automate model governance and compliance.
Must have qualifications to succeed in the role:
- Strong theoretical and applied knowledge of Machine Learning techniques especially in the NLP and unstructured data.
- Experience implementing and supporting Machine Learning platform including automating data validation, model training, model validation and model monitoring.
- Awareness of latest industry technical developments, emerging trends, new technologies, best practice for Natural Language including generative models.
- At least 5 years of experience in Investment/Retail/Commercial Banking.
- At least 5 years of experience in AIML.
- At least 2 years of experience of implementing ML use-cases using Google Stack.
- Good experience in managing C-Pack on AIML Platform business case and roadmap. , Comments: , WorkSite: